Published April 2011 | Version v1
Journal article

Poor—rich demarcation of Matthew effect on scale-free systems and its application

  • 1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 2. College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200052, China Lumière Technology Institute, Université Lumière Lyon 2, Lyon 69007 (France)

Description

In a scale-free network, only a minority of nodes are connected very often, while the majority of nodes are connected rarely. However, what is the ratio of minority nodes to majority nodes resulting from the Matthew effect? In this paper, based on a simple preferential random model, the poor-rich demarcation points are found to vary in a limited range, and form a poor-rich demarcation interval that approximates to k/m in [3,4]. As a result, the (cumulative) degree distribution of a scale-free network can be divided into three intervals: the poor interval, the demarcation interval and the rich interval. The inequality of the degree distribution in each interval is measured. Finally, the Matthew effect is applied to the ABC analysis of project management. (general)

Availability note (English)

Available from http://dx.doi.org/10.1088/1674-1056/20/4/040205

Additional details

Publishing Information

Journal Title
Chinese Physics. B
Journal Volume
20
Journal Issue
4
Journal Page Range
[6 p.]
ISSN
1674-1056

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45013580
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
APPROXIMATIONS; MATHEMATICAL MODELS; NETWORK ANALYSIS; PROGRAM MANAGEMENT; RANDOMNESS
Descriptors DEC
CALCULATION METHODS; MANAGEMENT